Preface Linear filters have been used as the primary tools in signal and image processing. They exhibit many desirable properties, such as the superposition, which makes them easy to design and implement. Furthermore, they are the best solution in additive Gaussian noise suppression. However, when the noise is not additive or when there exist system non-linearities linear filters are not adequa...

An extended, revised form of Tim Buckwalter’s Arabic lexical and morphological resource AraMorph, eXtended Revised AraMorph (henceforth XRAM), is presented which addresses a number of weaknesses and inconsistencies of the original model by allowing a wider coverage of real-world Classical and contemporary (both formal and informal) Arabic texts. Building upon previous research, XRAM enhancement...

Morphological amoebas are image-adaptive structuring elements for morphological and other local image filters introduced by Lerallut et al. Their construction is based on combining spatial distance with contrast information into an image-dependent metric. Amoeba filters show interesting parallels to image filtering methods based on partial differential equations (PDEs), which can be confirmed b...

In the project COMOTI – Connected Morphological Operators for Tensor Images (http://www.cs.rug.nl/svcg/SciVis/COMOTI), funded by the Dutch National Science Foundation (NWO), we address the development of techniques for morphological filtering and visualisation of tensor fields. Whereas the theoretical and algorithmic foundations for morphological operators on scalar images are well developed, t...

Segmentation of the airways is useful for the analysis of airway compression and obstruction caused by pathology. This paper outlines an automatic method for segmentation of the airway tree. This method includes algorithms to detect the trachea, segment the trachea and main bronchi by thresholding and region growing, and segment the remaining bronchi by morphological filtering and reconstructio...

The main objective of this study was to compare methods to estimate the number of trees and individual tree height using remote sensing data. A Korean pine tree study area for these techniques was selected. the methods of watershed segmentation, region-growing segmentation, and morphological filtering were compared to estimate their accuracy. The algorithm was initiated by developing a normaliz...

In this thesis work the text found on the vehicle plates is detected from the input image and this requires the localization of number plate area in order to identify the characters present on it. In this thesis work, simple colour conversion edge detection and removal of noise with the application of median filter as one of the operators is attempted. This thesis work presents an approach usin...

An application of the Viola and Jones object detector to the problem of aircraft detection is presented. This approach is based on machine learning rather than morphological filtering which was mainly used in previous works. Aircraft detection using computer vision methods is a challenging problem since target aircraft can vary from subpixels to a few pixels in size and the background can be he...

In this paper we study the application of the Affine Morphological Scale Space (AMSS) to corner detection with subpixel precision. Corner detection techniques are in general very sensitive to noise, so some kind of filtering is usually needed to remove noise before estimating the corner location, however, the filtering procedure changes the location of the corner, so the filtering introduce err...

This paper presents a method for combined interactive filtering and visualization of volumetric data. The user can set the filter parameters of a shape preserving class of morphological filters, called connected filters, efficiently. The filters work by computing some attribute describing the shape or size for each connected component, and then deciding which to keep based on some threshold. We...